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Walmart Canada · 10 hours ago

Staff, Data Scientist- Performance Measurements and Insights

(USA) Sam's Home Office AR Bentonville Home Office

Full-time

Onsite

Senior Level, Lead/Staff

5+ years exp

Walmart Canada is seeking a Staff Data Scientist for their Sam’s Club MAP team, which focuses on delivering impactful omnichannel advertising experiences. The role involves collaborating with sales leaders to develop reporting solutions, addressing strategic business questions, and leveraging data science to provide insights and drive process improvement.

DeliveryRetailShopping

Responsibilities

Collaborate with leaders in Sales and other inter-dependent teams to design, develop, and propose automation and AI solutions for reporting and measurement needs

Own and develop scaled reporting solutions for Sales team needs

Manage reporting collateral, including dashboards, to facilitate teams' understanding of business health and goal achievement levels

Address ambiguous strategic questions facing the business and collaborate with leaders across MAP to build business cases for new business initiatives

Ensure smooth execution of these initiatives across diverse cross-functional partners

Develop a profound understanding of MAP’s business and how our different ads products, media channels, and sales investments align with our broader strategy

Develop various input and output metrics we will use to evaluate our progress, which will serve as the backbone of our MAP MINDS reporting process

Build quick automaton tools to drive quick data synthesis

Act as the primary point of contact for Sales, offering insights into metric movements and trends and providing data-driven insights

Support decision-making by specifying requirements for developing analytic capabilities, platforms, pipelines, and metrics, and then use them to analyze trends and identify root causes

Lead and conduct ad hoc analyses, ranging from creating new metrics to identifying the root causes of revenue fluctuations

Operate independently as the go-to analytics expert for day-to-day business needs

This role requires strong stakeholder management, comfort with ambiguity, attention to detail, and the ability to operate in a fast-paced, entrepreneurial environment

Qualification

Data ScienceMachine LearningSQLPythonDashboard DevelopmentStatistical AnalysisAd Tech KnowledgeStakeholder ManagementCommunication SkillsMentoringCross-Functional Collaboration

Required

5+ years of experience in data science, analytics, or statistical analysis

Strong executive presence and communication skills, with the ability to adapt messaging for different audiences

Advanced SQL skills for complex data extraction and analysis

Design, build, and maintain high-quality dashboards and visualizations using Superset and other BI tools as needed

Experience partnering with data scientists, engineers, and product managers to design, train, test, and deploy ML models

Ability to translate ambiguous business problems into clear analytical and ML roadmaps

Experience conducting offline evaluations and A/B testing, causality, and communicating results to technical and non-technical stakeholders

Experience mentoring junior data scientists and acting as a technical leader

Strong ability to gather business requirements, propose solutions, evaluate feasibility, and assess ROI

Proven ability to manage multiple priorities independently in a cross-functional environment

Familiarity with sales processes and tools (e.g., Salesforce, quota and territory analytics)

Have a MS/PhD in relevant technical degree (preferably Computer Science, Machine Learning, Operations Research, Applied Mathematics, Statistics, Engineering etc.) with 5+ years of relevant work experience

Strong prior experience in retail media and digital / in-store advertising

Strong knowledge of Python, SQL, PySpark, Tableau, Machine Learning Libraries, Big Data processing systems in cloud environment is expected

Experience working cross-functionally product and technical teams

Experience with large data sets and analytical tools e.g., Spark

Sound knowledge of Ad tech and prior Retail Media working knowledge is required

A track record of building ML models or delivering impactful customer-facing products as tech lead and mentoring early-career data scientists

Comfortable with ambiguity and thrive in an environment with rapid change